Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

  1. #218 Serverless Python functions in Azure

    Publisert: 25.6.2019
  2. #217 Notebooks vs data science-enabled scripts

    Publisert: 21.6.2019
  3. #216 Digging into Visual Studio Code

    Publisert: 14.6.2019
  4. #215 The software powering Talk Python courses and podcast

    Publisert: 6.6.2019
  5. #214 Dive into CPython 3.8 and beyond

    Publisert: 31.5.2019
  6. #213 WebAssembly and CPython

    Publisert: 25.5.2019
  7. #212 Python in Web Assembly with Pyodide

    Publisert: 17.5.2019
  8. #211 Classic CS problems in Python

    Publisert: 11.5.2019
  9. #210 Making the most out of in-person training

    Publisert: 2.5.2019
  10. #209 Inside Python's new governance model

    Publisert: 28.4.2019
  11. #208 Packaging, Making the most of PyCon, and more

    Publisert: 21.4.2019
  12. #207 Parallelizing computation with Dask

    Publisert: 14.4.2019
  13. #206 Running Django in Production

    Publisert: 6.4.2019
  14. #205 Beginners and Experts Panel

    Publisert: 2.4.2019
  15. #204 StaticFrame, like Pandas but safer

    Publisert: 21.3.2019
  16. #203 Beginners and Experts in Software Development

    Publisert: 13.3.2019
  17. #202 Building a software business

    Publisert: 9.3.2019
  18. #201 Choosing JupyterHub and Python over MATLAB

    Publisert: 27.2.2019
  19. #200 Escaping Excel Hell with Python and Pandas

    Publisert: 21.2.2019
  20. #199 Automate all the things with Python at Zapier

    Publisert: 14.2.2019

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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

Visit the podcast's native language site